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Record W2531585995 · doi:10.2147/ijwh.s99705

Levonorgestrel-releasing intrauterine systems for long-acting contraception: current perspectives, safety, and patient counseling

2016· review· en· W2531585995 on OpenAlexaff
Dustin Costescu

Bibliographic record

VenueInternational Journal of Women s Health · 2016
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsLevonorgestrelFamily planningUnintended pregnancyMedicinePregnancyDeveloped countryObstetricsFamily medicineGynecologyPopulationEnvironmental healthResearch methodology

Abstract

fetched live from OpenAlex

Unintended pregnancy is a significant global problem. In 2008, there were over 100 million unplanned pregnancies worldwide, representing approximately 41% of global conceptions. Family planning strategies in many countries are shifting from increasing the uptake of contraception among nonusers to increasing the uptake of the most effective methods among users of less effective methods. One of the most effective and acceptable methods of contraception is the levonorgestrel-releasing intrauterine system (LNG IUS); however, its uptake varies widely by country. This article reviews the currently available LNG IUSs, the rationale for increasing uptake of these methods, and evidence regarding safety, and discusses counseling strategies to best inform women about this option for contraception.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.400
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2016
Admission routes1
Has abstractyes

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